Impact Analysis of Human Errors on Operation Reliability in Power System

2014 ◽  
Vol 584-586 ◽  
pp. 2597-2603 ◽  
Author(s):  
Ying Kai Bao ◽  
Jun Xi Tang ◽  
Gang Huang ◽  
Chuang Xin Guo ◽  
Jia Liu ◽  
...  

Based on modification of CREAM extended method, an approach is proposed to calculate the human error probability suitable to power system situation and an operation reliability assessment model is firstly put forward. Then the event tree analysis method is introduced to analyze the impact of human error on operation reliability. Simulation results of IEEE-RTS79 demonstrate that human error makes a significant impact on the operation reliability.

Author(s):  
SUN ZHIQIANG ◽  
XIE HONGWEI ◽  
SHI XIUJIAN ◽  
LIU FENGQIANG ◽  
LI ZHENGYI

A framework for human error modes and effects analysis is presented. The methods of hierarchical task analysis and event tree analysis are introduced as the basic analytical tools, and a novel generic framework for human errors classification is presented as the guidance to identify human errors. Firstly, the process of human error modes and effects analysis is discussed, and the hierarchical task analysis method is introduced briefly. Secondly, the framework for human errors classification is discussed in detail. Thirdly, the multi-states event tree is designed to model the accident scenario. Finally, two scenarios are selected as the examples to illustrate the proposed process of human error modes and effects analysis.


2014 ◽  
Vol 584-586 ◽  
pp. 2585-2588 ◽  
Author(s):  
Jun Xi Tang ◽  
Ying Kai Bao ◽  
Li Cheng Wang ◽  
Chuang Xin Guo ◽  
Wen Hai Liu ◽  
...  

Reliability is always one of the most focal points for the power system researchers. With the improvement of equipment reliability, human error has become a great threat to the power system security. But the human reliability analysis in power system does not get as much attention as it perhaps deserve. As a representative HRA method, the Cognitive Reliability and Error Analysis Method (CREAM) is cited in this paper. And it is applied to evaluate the human error probability of a simple switching operation case. This practice is a beneficial attempt to introduce HRA method into the power system reliability research and lay a foundation for the further explorations.


2014 ◽  
Vol 988 ◽  
pp. 687-690
Author(s):  
Jun Xi Tang ◽  
Li Cheng Wang ◽  
Peng Jia Shi ◽  
Zhao Li ◽  
Su Hong Pang ◽  
...  

Along with the development of science and technology, equipment reliability is improving and human error has become an increasingly important threat to the power system reliability and safety. However, there is seldom research for the human errors in electric power generation. In this paper, the classification and the main causes of human errors in power system are analyzed firstly. Then, the influence factors of human error are divided into several groups, which are organizational factors, mission factors, individual factors, environment and equipment factors. By analyzing the impact of different influence factors, an influence factors system of human error in power system is proposed and lays a foundation for the further explorations.


2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Ljubisa Papic

The method of cause-effect diagram is used in the subject investigation to detect and systematize human factors (human errors) that affect the results performing for the mining machines maintenance operation, i.e. sources that cause a maintenance problem. Event Tree Analysis is used as additional method in regard to cause-effect diagram. This method described certain logical events which come from primary initial event – error of maintainer. Event tree is in the subject investigation developed in order to find modes for mitigation waste (injury), rather than prevent waste. Key words: Human factor, maintenance operation, human error cause, "Swiss chese" model, event tree, human reliability prediction.


2011 ◽  
Vol 97-98 ◽  
pp. 825-830 ◽  
Author(s):  
Yong Tao Xi ◽  
Chong Guo

Safety is the eternal theme in shipping industry. Research shows that human error is the main reason of maritime accidents. Therefore, it is very necessary to research marine human errors, to discuss the contexts which caused human errors and how the contexts effect human behavior. Based on the detailed investigation of human errors in collision avoidance behavior which is the most key mission in navigation and the Performance Shaping Factors (PSFs), human reliability of mariners in collision avoidance was analyzed by using the integration of APJE and SLIM. Result shows that this combined method is effective and can be used for the research of maritime human reliability.


2018 ◽  
Vol 10 (11) ◽  
pp. 4140 ◽  
Author(s):  
Seungchan Oh ◽  
Heewon Shin ◽  
Hwanhee Cho ◽  
Byongjun Lee

Efforts to reduce greenhouse gas emissions constitute a worldwide trend. According to this trend, there are many plans in place for the replacement of conventional electric power plants operating using fossil fuels with renewable energy sources (RESs). Owing to current needs to expand the RES penetration in accordance to a new National power system plan, the importance of RESs is increasing. The RES penetration imposes various impacts on the power system, including transient stability. Furthermore, the fact that they are distributed at multiple locations in the power system is also a factor which makes the transient impact analysis of RESs difficult. In this study, the transient impacts attributed to the penetration of RESs are analyzed and compared with the conventional Korean electric power system. To confirm the impact of the penetration of RESs on transient stability, the effect was analyzed based on a single machine equivalent (SIME) configuration. Simulations were conducted in accordance to the Korean power system by considering the anticipated RES penetration in 2030. The impact of RES on transient stability was provided by a change in CCT by increasing of the RES penetration.


Author(s):  
Danilo Taverna Martins Pereira de Abreu ◽  
Marcos Coelho Maturana ◽  
Marcelo Ramos Martins

Abstract The navigation in restricted waters imposes several challenges when compared to open sea navigation. Smaller dimensions, higher traffic density and the dynamics of obstacles such as sandbanks are examples of contributors to the difficulty. Due to these aspects, local experienced maritime pilots go onboard in order to support the ship’s crew with their skills and specific regional knowledge. Despite these efforts, several accidents still occur around the world. In order to contribute to a better understanding of the events composing accidental sequences, this paper presents a hybrid modelling specific for restricted waters. The main techniques used are the fault tree analysis and event tree analysis. The former provides a framework to investigate the causes, while the latter allows modelling the sequence of actions necessary to avoid an accident. The models are quantified using statistical data available in the literature and a prospective human performance model developed by the Technique for Early Consideration of Human Reliability (TECHR). The results include combined estimates of human error probabilities and technical failure probabilities, which can be used to inform the causation factor for a waterway risk analysis model. In other words, given that the ship encounters a potential accidental scenario while navigating, the proposed models allow computing the failure probability that of the evasive actions sequence. The novelty of this work resides on the possibility of explicitly considering dynamicity and recovery actions when computing the causation factor, what is not a typical feature of similar works. The results obtained were compared with several results available in the literature and have been shown to be compatible.


In healthcare sector, employing human knowledge, on a larger scale, in the decision making process in identifying the risk sources is very common, and often the human error in the process results in adverse effects of unrecognized risks. Hence, the impact of human error in employing the human knowledge remains a major problem. To minimize the human error a fuzzy based risk assessment method using Ranked Risk Breakdown Structure (RRBS) model is proposed in this work. The proposed method is able to rank the risk resources on the basis of a risk score generating mechanism based on the probability of occurrence of risk and outcome of the risk. By recognizing the high ranking risk resources, that is, the risk drivers at higher levels of seriousness/severity, this fuzzy based methodology nullify the existing common human errors. The proposed methodology is validated with the actual past data of one decade period, the occurrence of risk and its effect in a healthcare industry situated in an urban city of India. The results of the experimentation reveal that the proposed methodology can be successfully implemented in all other industries in healthcare sector to minimize the human error in risk recognition. The suggested model is helpful for industrial managers/practitioners to tackle risk factors related with complex works.


2021 ◽  
Vol 4 (1) ◽  
pp. 95-102
Author(s):  
Amar Yasser El-Bably

Information security is the practice of protecting information by mitigating the risk of cyber-attack, and typically includes preventing or reducing the possibility of unauthorized/inappropriate access to data, unlawful use, disclosure, disruption. This concept of information security covers as well various procedures aiming at minimizing the negative effects of such incidents and threats. These threats might be originated from the human behavior which may lead to a wide damage of the organization data assets. Thus, the primary focus of information security is on the balanced protection of confidentiality, integrity and availability of data while maintaining an effective use of the organizations' systems. International standards related to information security such as ISO/IEC 27001 emphasis on effective implementation of the information security policies and applications without hampering the productivity of the organization. This research seeks to draw a set of practical rules to be established within an organization to preserve cybersecurity objectives and protect dada specifically from human errors incidents. The drawn rules are based on ISO/IEC 27001 and its application within organizations will rise the employee’s awareness about their behavior to reduce the impact of such incidents on the organization' systems and data.


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